---
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
model-index:
- name: financeLM_outputpath_final_model_15
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# financeLM_outputpath_final_model_15

This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9396

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.6902        | 1.0   | 671   | 1.3422          |
| 1.0644        | 2.0   | 1342  | 1.3353          |
| 0.8371        | 3.0   | 2013  | 1.4028          |
| 0.6842        | 4.0   | 2685  | 1.4639          |
| 0.5775        | 5.0   | 3356  | 1.5597          |
| 0.4967        | 6.0   | 4027  | 1.6722          |
| 0.438         | 7.0   | 4698  | 1.7115          |
| 0.3909        | 8.0   | 5370  | 1.7681          |
| 0.3556        | 9.0   | 6041  | 1.8081          |
| 0.3293        | 10.0  | 6712  | 1.8478          |
| 0.3076        | 11.0  | 7383  | 1.8752          |
| 0.2908        | 12.0  | 8055  | 1.8949          |
| 0.2781        | 13.0  | 8726  | 1.9260          |
| 0.2685        | 14.0  | 9397  | 1.9298          |
| 0.2602        | 14.99 | 10065 | 1.9396          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1